Triple

T2993684
Position Surface form Disambiguated ID Type / Status
Subject Battle of Arras (1917) E81015 entity
Predicate location P40 FINISHED
Object Arras E187526 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arras | Statement: [Battle of Arras (1917), location, Arras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arras
Context triple: [Battle of Arras (1917), location, Arras]
  • A. Arras chosen
    Arras is a historic city in northern France renowned for its Flemish-Baroque architecture, grand squares, and role as a strategic site in both World Wars.
  • B. Saint-Omer
    Saint-Omer is a historic town in northern France known for its medieval architecture, strategic military importance, and role in Franco-Spanish conflicts.
  • C. Cambrai
    Cambrai is a historic city in northern France known for its medieval heritage, role in World War I, and traditional confectionery.
  • D. Valenciennes
    Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
  • E. Cambrésis
    Cambrésis is a historic region in northern France centered around the city of Cambrai, known for its medieval bishopric and strategic importance in European conflicts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99e291e0819089f81c0a7d7a6cd9 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8629c7c8190b597255ab8f391af completed March 11, 2026, 11:18 p.m.
Created at: March 8, 2026, 2:59 p.m.